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The CKA exam is a hands-on, performance-based exam that tests the candidate's ability to perform tasks commonly required of Kubernetes administrators. It is designed to be challenging and requires a deep understanding of Kubernetes concepts, architecture, and deployment. CKA exam covers topics such as deploying and scaling applications, configuring networking, managing storage, and troubleshooting common issues. Passing the CKA exam demonstrates that the candidate has the skills and knowledge required to effectively manage Kubernetes clusters and is recognized as a valuable credential in the industry.
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The CKA exam is a hands-on, performance-based exam that requires candidates to perform tasks on a live Kubernetes cluster. CKA exam lasts for two hours and consists of 24 performance-based tasks. Candidates must complete all tasks within the allocated time frame to pass the exam. CKA Exam is proctored, and candidates must have a webcam to ensure the integrity of the exam.
NEW QUESTION # 21
Ensure a single instance of pod nginx is running on each node of the Kubernetes cluster where nginx also represents the Image name which has to be used. Do not override any taints currently in place.
Use DaemonSet to complete this task and use ds-kusc00201 as DaemonSet name.
Answer:
Explanation:
solution



NEW QUESTION # 22
Check the image version in pod without the describe command
Answer:
Explanation:
See the solution below.
Explanation
kubectl get po nginx -o
jsonpath='{.spec.containers[].image}{"\n"}'
NEW QUESTION # 23
Score: 4%
Task
Create a pod named kucc8 with a single app container for each of the following images running inside (there may be between 1 and 4 images specified): nginx + redis + memcached .
Answer:
Explanation:
Solution:
kubectl run kucc8 --image=nginx --dry-run -o yaml > kucc8.yaml
# vi kucc8.yaml
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
name: kucc8
spec:
containers:
- image: nginx
name: nginx
- image: redis
name: redis
- image: memcached
name: memcached
- image: consul
name: consul
#
kubectl create -f kucc8.yaml
#12.07
NEW QUESTION # 24
Create a redis pod, and have it use a non-persistent storage
Note: In exam, you will have access to kubernetes.io site,
Refer : https://kubernetes.io/docs/tasks/configure-pod-container/configurevolume-storage/
Answer: B
NEW QUESTION # 25
Create a persistent volume with name app-data, of capacity 2Gi and access mode ReadWriteMany. The type of volume is hostPath and its location is /srv/app-data.
Answer:
Explanation:
solution
Persistent Volume
A persistent volume is a piece of storage in a Kubernetes cluster. PersistentVolumes are a cluster-level resource like nodes, which don't belong to any namespace. It is provisioned by the administrator and has a particular file size. This way, a developer deploying their app on Kubernetes need not know the underlying infrastructure. When the developer needs a certain amount of persistent storage for their application, the system administrator configures the cluster so that they consume the PersistentVolume provisioned in an easy way.
Creating Persistent Volume
kind: PersistentVolume apiVersion: v1 metadata: name:app-data spec: capacity: # defines the capacity of PV we are creating storage: 2Gi #the amount of storage we are tying to claim accessModes: # defines the rights of the volume we are creating - ReadWriteMany hostPath: path: "/srv/app-data" # path to which we are creating the volume Challenge Create a Persistent Volume named app-data, with access mode ReadWriteMany, storage classname shared, 2Gi of storage capacity and the host path /srv/app-data.
2. Save the file and create the persistent volume.
3. View the persistent volume.
Our persistent volume status is available meaning it is available and it has not been mounted yet. This status will change when we mount the persistentVolume to a persistentVolumeClaim.
PersistentVolumeClaim
In a real ecosystem, a system admin will create the PersistentVolume then a developer will create a PersistentVolumeClaim which will be referenced in a pod. A PersistentVolumeClaim is created by specifying the minimum size and the access mode they require from the persistentVolume.
Challenge
Create a Persistent Volume Claim that requests the Persistent Volume we had created above. The claim should request 2Gi. Ensure that the Persistent Volume Claim has the same storageClassName as the persistentVolume you had previously created.
kind: PersistentVolume apiVersion: v1 metadata: name:app-data
spec:
accessModes: - ReadWriteMany resources:
requests: storage: 2Gi
storageClassName: shared
2. Save and create the pvc
njerry191@cloudshell:~ (extreme-clone-2654111)$ kubect1 create -f app-data.yaml persistentvolumeclaim/app-data created
3. View the pvc
4. Let's see what has changed in the pv we had initially created.
Our status has now changed from available to bound.
5. Create a new pod named myapp with image nginx that will be used to Mount the Persistent Volume Claim with the path /var/app/config.
Mounting a Claim
apiVersion: v1 kind: Pod metadata: creationTimestamp: null name: app-data spec: volumes: - name:congigpvc persistenVolumeClaim: claimName: app-data containers: - image: nginx name: app volumeMounts: - mountPath: "/srv/app-data " name: configpvc
NEW QUESTION # 26
......
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